Descript replaces timeline scrubbing with editing a transcript directly, delete a sentence in the text and the matching audio or video disappears too. For a podcaster or video editor who used to hunt through a waveform to find one bad take, that turns a multi-minute search into a find-and-delete on a page of text.
4.6/5 on G2 from 920 reviews See the reviews
What Descript does
Descript’s core idea is text-based editing: it transcribes a recording automatically, identifies who’s speaking, and lets someone edit the video or audio by editing that transcript like a document rather than scrubbing a timeline. Built around that are tools for removing filler words automatically, a built-in screen and camera recorder, and multi-camera editing for switching between angles. It also includes AI voiceover and voice-cloning tools, an AI co-editor called Underlord that can handle parts of the editing process on request, and hosted publishing so a finished episode or video can go out directly from the platform. It’s built for producing short social clips from longer recordings too, aimed at podcasters, video producers, educators, and marketing teams who need to repurpose long-form content.
What it saves you
Before transcript-based editing, cutting a podcast or video meant scrubbing through a timeline by ear or eye to find each moment that needed removing, a filler word, a false start, a section to cut for time, then trimming it manually in a waveform or video track. For a weekly podcast with a handful of guests, that search-and-trim process can easily be the slowest part of production, especially when removing repeated filler words means finding and cutting dozens of small moments one at a time by hand across a full hour of raw tape. Descript’s transcript editing turns that into reading and deleting text, and its automatic filler-word removal handles the repetitive part without manual searching at all. The built-in recorder and multi-camera support also remove the step of importing footage from a separate recording app before editing can even start on a given episode.
How it simplifies your setup
Descript keeps recording, transcription, editing, and publishing in one place, so there’s no import step between recording a conversation and starting to edit it, and no separate transcription service to send audio to and wait on before editing can begin. Multi-camera support removes the need for a separate syncing step when a video was recorded on more than one device. The AI co-editor and automatic filler-word removal cut down on the manual scrubbing that used to be the most repetitive part of the job, and hosted publishing removes the step of exporting a finished file and uploading it to a separate podcast or video host. For someone repurposing one long recording into several short social clips, that clip-creation tool removes what would otherwise be a fully separate editing pass on its own.
Who Descript is for
Descript fits podcasters, video creators, and marketing teams who record a lot of spoken content and want editing to feel more like word-processing than timeline work, especially anyone cutting filler words or long pauses regularly. Educators and business teams producing training or explainer videos also benefit from its low technical bar. It’s a weaker fit for editors doing complex visual work, heavy color grading, motion graphics, or intricate multi-layer composites, where transcript-based editing doesn’t apply and a traditional timeline editor gives more direct control. A creator who rarely edits spoken-word content, or works mostly with music and visuals, won’t get much use out of its core feature.
The link below goes straight to the provider. We earn a commission if you sign up through it, at no extra cost to you.
Common questions
What is Descript used for?
Descript is editing software for podcasts and videos that works by editing a text transcript instead of a timeline, deleting a word or sentence in the transcript removes the matching audio or video. It’s aimed at podcasters, video creators, and teams who want editing to feel closer to word-processing than traditional timeline scrubbing.
Can Descript remove filler words automatically?
Yes. Descript can automatically detect and remove filler words like ‘um’ and ‘uh’ across a recording without manual searching, which is one of its more commonly cited time-saving features. It’s part of a broader set of cleanup tools aimed at making raw recordings sound more polished with less manual editing.
Does Descript work for video, not just audio?
Yes. Descript handles both audio and video, including multi-camera editing for recordings made on more than one device at once. It also includes a built-in screen and camera recorder, so video doesn’t need to be captured in a separate app before editing. Multi-camera support also means a recording made on two devices at once can be synced and edited from the same transcript-driven interface, rather than syncing footage manually in a separate editor first.